Digital Technology Innovation and Corporate Labor Cost Stickiness
- DOI
- 10.2991/978-94-6239-699-9_15How to use a DOI?
- Keywords
- Digital technology innovation; Labor cost stickiness; Skill premium; Economies of scale
- Abstract
Using data on Chinese A-share listed firms from 2009 to 2022, this paper examines whether digital technology innovation affects labor cost stickiness. To do so, it constructs a firm-level measure of digital technology innovation based on patent applications matched to official digital-economy industry classifications. The results show that digital technology innovation significantly increases labor cost stickiness by amplifying the asymmetry of firms’ labor-demand adjustment over expansions and contractions. This finding remains robust to instrumental-variable estimation and a wide range of robustness checks. Mechanism analyses indicate that the effect operates through stronger economies of scale and higher labor adjustment costs associated with skill upgrading and a larger skill premium. Further heterogeneity analyses show that the effect is more pronounced among labor-intensive firms, firms closer to the digital technological frontier, and firms operating in more competitive markets.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Siyuan Liu PY - 2026 DA - 2026/06/02 TI - Digital Technology Innovation and Corporate Labor Cost Stickiness BT - Proceedings of the 2026 4th International Conference on Digital Economy and Management Science (CDEMS 2026) PB - Atlantis Press SP - 121 EP - 134 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-699-9_15 DO - 10.2991/978-94-6239-699-9_15 ID - Liu2026 ER -